28 citations · 90 across the 18 of their papers we have counts for
3 papers · 1 filter
Multi-terminal memristive devices enabling tunable synaptic plasticity in neuromorphic hardware: a mini-review
Yann Beilliard, Fabien Alibart
Neuromorphic computing based on spiking neural networks has the potential to significantly improve on-line learning capabilities and energy efficiency of artificial intelligence, s…
Fully CMOS-compatible passive TiO2-based memristor crossbars for in-memory computing
Abdelouadoud El Mesoudy, Gwénaëlle Lamri, Raphaël Dawant +7
Brain-inspired computing and neuromorphic hardware are promising approaches that offer great potential to overcome limitations faced by current computing paradigms based on traditi…
Signals to Spikes for Neuromorphic Regulated Reservoir Computing and EMG Hand Gesture Recognition
Nikhil Garg, Ismael Balafrej, Yann Beilliard +3
Surface electromyogram (sEMG) signals result from muscle movement and hence they are an ideal candidate for benchmarking event-driven sensing and computing. We propose a simple yet…